jiachengpan / cudaMSTLinks
CUDA-accelerated minimum spanning tree algorithm -- data parallel Boruvka's algorithm
☆20Updated 9 years ago
Alternatives and similar repositories for cudaMST
Users that are interested in cudaMST are comparing it to the libraries listed below
Sorting:
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago
 - CUDA kernels for generalized matrix-multiplication in PyTorch☆85Updated 4 years ago
 - Structured matrices for compressing neural networks☆67Updated 2 years ago
 - python algorithms to solve sparse linear programming problems☆31Updated 2 years ago
 - Legendre decomposition for tensors☆13Updated 7 years ago
 - tensorflow implementation of the Wasserstein (aka optimal transport) distance☆72Updated 4 years ago
 - Auction algorithm for solving linear assignment problem (LAP)☆75Updated 3 years ago
 - Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
 - Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
 - Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
 - A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.☆47Updated 6 years ago
 - Stochastic Deep Networks☆17Updated 6 years ago
 - The Limited Multi-Label Projection Layer☆59Updated last year
 - Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
 - A PyTorch library for differentiable submodular minimization.☆57Updated 7 years ago
 - Implementations of quasi-hyperbolic optimization algorithms.☆102Updated 5 years ago
 - [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
 - Monotone operator equilibrium networks☆53Updated 5 years ago
 - FluidNet re-written with ATen tensor lib☆52Updated 6 years ago
 - A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
 - Differentiable bitonic sorting☆141Updated 5 years ago
 - LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated last year
 - Python implementation of projection losses.☆27Updated 5 years ago
 - A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
 - ☆60Updated 5 years ago
 - Efficient Unitary Neural Network(EUNN) implementation in Tensorflow☆73Updated 6 years ago
 - PyTorch Extension Library of Optimized Unique Operation☆37Updated 6 years ago
 - G. Peyré, L. Chizat, F-X. Vialard, J. Solomon, Quantum Optimal Transport for Tensor Field Processing, Arxiv, 2016☆10Updated 8 years ago
 - The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
 - Python code for intrinsic dimension estimation of generic datasets☆19Updated 6 years ago